Heptad green metrics and quality by design tool evaluated chromatography method for content determination of Bexagliflozin in formulation product by Satyajit Raj Nethekar, Phani Raja Kanuparthy, Leela Prasad Kowtharapu, Vishnuvardhana Kishore Polisetti, Pankaj Kumar Lahoti, Sreekantha B Jonnalagadda, Naresh Kumar Katari

“…The study created an eco-friendly, rapid, sensitive, cost-efficient, stability-assessing method for analyzing Bexagliflozin in pharmaceuticals using a RP-UPLC approach. …”
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Structural and morphological studies of non-covalent functionalization carbon nanotubes wrapped poly(3-hexylthiophene-2,5-diyl) nanocomposites by N. Abdullah, N.M. Nurazzi, I.P. Silverwood, S.K. Matam, S.Z.N. Demon, N.S.N. Sa'aya, N.A. Halim, K.W. Baharin

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Stress triggering mechanism of strong mine earthquake in huge thick strata revealed by inversion of joint source rupture information by Yao YANG, Anye CAO, Yaoqi LIU, Xianxi BAI, Changbin WANG, Chengchun XUE, Qiang WANG

“…Under the condition of unconformable deposition of the Cretaceous Zhidan Group huge thick strata in the Inner Mongolia-Shanxi mining area, frequent occurrence of strong mine earthquake (SME) during deep mining, resulting in tremors at the surface，has severely constrained efficient production at the area. In order to solve the problem of inaccurate source information and unclear stress triggering mechanism, which makes it difficult to prevent and control SME, the working face of a mine in the area where SME occurred frequently is used as a background for the study, based on preliminary detection of stratigraphic rock movement characteristics, the principal component analysis (PCA) was applied to extract the effective components of waveforms, the hybrid moment tensor inversion (HMTI) are used to solve focal mechanism of SME, stress inversion model modified, and stress inversion algorithm optimised, based on the algorithm, solved the distribution characteristics of the stress field before and after the occurrence of SME, introduced instability coefficients to evaluate the stability of the overburden, and analysed the stress triggering mechanism of SME. …”
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The pig pose recognition method based on pig body semantic segmentation by Nuonan Huang, Deli Zhu, Liang He, Yi Li

“…Pose recognition in pigs faces several challenges in practical applications, primarily due to high annotation costs, the labor-intensive nature of annotation processes, and the difficulty of achieving accurate target detection in complex environments. To address these challenges, this paper proposes a novel pig pose recognition method based on the semantic segmentation of pig body parts. …”
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Electromagnetic Interference Shielding and Characterization of Ni2+ Substituted Cobalt Nanoferrites Prepared by Sol-Gel Auto Combustion Method by Rezhna Kuekha, Tahseen H. Mubarak, Bruska Azhdar

“…At 9.2 GHz, a study of reflection loss showed a minimum reflection loss (RL) of −32.08 dB. …”
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Deep learning based model predictive control of active filter inverter as interface for photovoltaic generation by Amin Rasoulian, Hadi Saghafi, Mohammadali Abbasian, Majid Delshad

“…While 1D‐CNN benefits from the inherent strong feature extraction/selection capability and lower computational complexity than other deep methods, it still cannot properly track the dynamic changes due to fixed weights during the training process. …”
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Medical-psychological rehabilitation of the military men who have received wounds during carrying out of counterterrorist operation in Dagestan in 1999 by A. S. Ibragimova, A. M. Amirov

“…The preferable criteria during the selection of rehabilitative methods depending on the efficiency of the differentiated approach to their use, sequence and duration of the influence, combinability have been defined. …”
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ATLAS-seq: a microfluidic single-cell TCR screen for antigen-reactive TCRs by Siwei Luo, Amber Notaro, Lan Lin

“…ATLAS-seq identifies distinct TCR clonotype populations with higher T cell activation levels compared to TCRs recovered by MHC multimer staining. Select TCR clonotypes from ATLAS-seq are more efficient in target cell killing than those from MHC multimer staining. …”
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Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

“…The volumetric heat transfer coefficient (VHTC) of direct-contact evaporator (DCE) in an organic Rankine cycle (ORC) system was one of the key indicators to reflect the heat transfer efficiency and energy utilization. …”
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From Clusters to Communities: Enhancing Wetland Vegetation Mapping Using Unsupervised and Supervised Synergy by Li Wen, Shawn Ryan, Megan Powell, Joanne E. Ling

“…However, producing accurate, fine-scale vegetation maps in large, heterogeneous floodplain wetlands remains challenging due to complex hydrology, spectral similarity among vegetation types, and the high cost of extensive field surveys. …”
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Classification of biomedical lung cancer images using optimized binary bat technique by constructing oblique decision trees by Shobha Aswal, Neelu Jyothi Ahuja, Ritika Mehra

“…The ODT classifier introduces flexibility in decision boundaries, which enables it to capture complex linkages between biomedical data. The proposed MLSC model effectively handles high-dimensional, imbalanced lung cancer datasets using TCGA_LUSC_2016 and TCGA_LUAD_2016 modalities, achieving superior precision, recall, F-measure, and execution efficiency. …”
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Research on a Lightweight Arrhythmia Classification Model Based on Knowledge Distillation for Wearable Single-Lead ECG Monitoring Systems by Xiang An, Shiwen Shi, Qian Wang, Yansuo Yu, Qiang Liu

“…Deep learning models, trained on ECG signals across twelve or more leads, are the predominant approach for automated arrhythmia detection in the AI-assisted medical field. While these multi-lead ECG-based models perform well in automatic arrhythmia detection, their complexity often restricts their use on resource-constrained devices. …”
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Research on Method for Intelligent Recognition of Deep-Sea Biological Images Based on PSVG-YOLOv8n by Dali Chen, Xianpeng Shi, Jichao Yang, Xiang Gao, Yugang Ren

“…Nonetheless, the inherent complexities of the deep-sea environment, the scarcity of available deep-sea organism samples, and the significant refraction and scattering effects of underwater light collectively impose formidable challenges on the current detection algorithms. …”
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Recent advancements in nanomaterial-based biosensors for diagnosis of breast cancer: a comprehensive review by Yalda Yazdani, Fereshtehsadat Jalali, Habib Tahmasbi, Mitra Akbari, Neda Talebi, Seyed Abbas Shahrtash, Ahmad Mobed, Mahsa Alem, Farhood Ghazi, Mehdi Dadashpour

“…However, these methods are limited by cost, analysis time, and complexity. Therefore, it is necessary to develop an ultrasensitive, fast, low-cost, simple method for BRCA1 detection. …”
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Enhancing Consumer Decision-Making in Skincare: Implementation of the VIKOR Method for Product Recommendation Systems by Diah Arifah Prastiningtyas, Greta Septy Purwiantono, Febry Eka Purwiantono, Addin Aditya

“… The challenge of selecting the most suitable skincare products, particularly sunscreens, has become increasingly complex due to the overwhelming variety of choices available on the market. …”
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Melanoma Skin Cancer Recognition with a Convolutional Neural Network and Feature Dimensions Reduction with Aquila Optimizer by Jalaleddin Mohamed, Necmi Serkan Tezel, Javad Rahebi, Raheleh Ghadami

“…Additionally, the AO reduced computational complexity by up to 37.5%. <b>Conclusions:</b> The deep learning-Aquila Optimizer (DL-AO) framework offers a highly efficient and accurate approach for melanoma detection, making it suitable for deployment in resource-constrained environments such as mobile and edge computing platforms. …”
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A growth posture identification method of immature peaches in natural environments by Jidong Lv, Liangliang Niu, Ying Han, Xiaoqin Sun, Lingyun Wang, Hailong Rong, Ling Zou

“…The network models employed in single detection algorithms exhibit complexity and pose challenges for deployment on mobile terminals as they heavily rely on the availability of labeled samples. …”
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Real-time perception and intelligent early warning technology for power grid control operations based on multi-dimensional data fusion by Wei Li, Chao Hu, Bo Zhou, Weibo Peng

“…Abstract With the increasing complexity of power grid regulation scenarios, traditional monitoring systems rely on a single data source and cannot fully reflect the real-time status of the power grid, resulting in delayed fault detection and response. …”
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Research on Multi-Center Path Optimization for Emergency Events Based on an Improved Particle Swarm Optimization Algorithm by Zeyu Zou, Hui Zeng, Xiaodong Zheng, Junming Chen

“…Results indicate that the model accurately reflects the dynamics of emergency logistics operations, while the hybrid algorithm exhibits strong local optimization capabilities and robust performance in handling diverse and complex scenarios. …”
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Nonlocal Huygens’ meta-lens for high-quality-factor spin-multiplexing imaging by Jin Yao, Yubin Fan, Yunhui Gao, Rong Lin, Zhihui Wang, Mu Ku Chen, Shumin Xiao, Din Ping Tsai

“…Leveraging these effects, the output polarization-converted state exhibits an efficient wavelength-selective focusing phase profile. …”
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